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ICMLA
2010
10 years 2 days ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...
SEMWEB
2010
Springer
10 years 19 days ago
Towards Semantic Annotation Supported by Dependency Linguistics and ILP
In this paper we present a method for semantic annotation of texts, which is based on a deep linguistic analysis (DLA) and Inductive Logic Programming (ILP). The combination of DLA...
Jan Dedek
RAS
2008
112views more  RAS 2008»
10 years 2 months ago
Learning and generalising semantic knowledge from object scenes
The robot described in this paper learns words that relate to objects and their attributes and also learns concepts, which may be recursive, that involve relationships between sev...
Claire D'Este, Claude Sammut
CORR
2002
Springer
102views Education» more  CORR 2002»
10 years 2 months ago
Low Size-Complexity Inductive Logic Programming: The East-West Challenge Considered as a Problem in Cost-Sensitive Classificatio
The Inductive Logic Programming community has considered proof-complexity and model-complexity, but, until recently, size-complexity has received little attention. Recently a chal...
Peter D. Turney
ML
2006
ACM
10 years 2 months ago
Gleaner: Creating ensembles of first-order clauses to improve recall-precision curves
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. A common way to measure performance in these domains is to use precision and recall i...
Mark Goadrich, Louis Oliphant, Jude W. Shavlik
CORR
2007
Springer
127views Education» more  CORR 2007»
10 years 2 months ago
Learning Phonotactics Using ILP
This paper describes experiments on learning Dutch phonotactic rules using Inductive Logic Programming, a machine learning approach based on the notion of inverting resolution. Di...
Stasinos Konstantopoulos
AICOM
2006
105views more  AICOM 2006»
10 years 2 months ago
Evolutionary concept learning in First Order Logic: An overview
This paper presents an overview of recent systems for Inductive Logic Programming (ILP). After a short description of the two popular ILP systems FOIL and Progol, we focus on meth...
Federico Divina
BMCBI
2008
126views more  BMCBI 2008»
10 years 2 months ago
Automatic inference of indexing rules for MEDLINE
This paper describes the use and customization of Inductive Logic Programming (ILP) to infer indexing rules from MEDLINE citations. Preliminary results suggest this method may enh...
Aurélie Névéol, Sonya E. Shoo...
ICONIP
1998
10 years 4 months ago
Inducing Relational Concepts with Neural Networks via the LINUS System
This paper presents a method to induce relational concepts with neural networks using the inductive logic programming system LINUS. Some first-order inductive learning tasks taken...
Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avil...
FLAIRS
2001
10 years 4 months ago
Graph-Based Concept Learning
We introduce the graph-based relational concept learner SubdueCL. We start with a brief description of other graph-based learning systems: the Galois lattice, Conceptual Graphs, a...
Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Co...
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